Method and system for adjusting the brightness of light sources

Abstract

The disclosure relates to a method for automatically adjusting brightness levels of a plurality of light sources mounted in a vehicle. The method includes detecting a first eye attribute value and a second eye attribute value of the user of the vehicle. The first eye attribute is a color of the user's iris, and the second eye attribute is a color of the user's sclera. The method includes determining that the user is photosensitive based on at least the second eye attribute value and evaluating a first brightness level for the plurality of light sources based on the first eye attribute value and the second eye attribute value. The method further includes setting a current brightness level of the plurality of light sources to the first brightness level.

Description

In the following description, the invention and the manner in which it is carried out will be explained in more detail:DESCRIPTION OF THE INVENTIONTechnical FieldThe present disclosure relates to a technical field of light settings, and more particularly to a method and system for automatically setting brightness levels of light sources.BACKGROUND OF THE DISCLOSUREPhotosensitivity or photophobia is a condition in which the eyes of a person are excessively sensitive to light. A person with such a disease can be faced with various problems, for example discomfort, overextension or pain in the eyes when exposed to bright or normal light. It may be difficult for such a person to handle a number of light sources, e.g., in vehicles, smart phones, televisions, and other devices with light emitting diode (LED) screens. Therefore, the light sources must be configured to match their brightness to the user's light sensitivity. There are already some methods for setting brightness levels of light sources.One of the existing methods disclosed in US7639149B2 provides a method for changing brightness levels of external vehicle lamps based on the iris color of the driver. Another method described in US 11491912B2 controls the illuminance of vehicle headlights based on an amount of IR light required for illuminating the face of the driver. US2018009367A1 discloses another method for changing colors of a headlamp based on various factors such as road types, environmental factors, colors of lane markings, types of road lights, etc.In the existing methods, therefore, the brightness of the external light sources is adjusted based on the iris color and the face of the driver. On the other hand, a driver with light sensitivity can more sensitive to interior light sources such as infotainment lights, ambient light, etc. than to external light sources. However, none of the existing methods addresses the problem of changing brightness levels of internal light sources for a light-sensitive person. Therefore, there is a need for a system and method for adjusting brightness levels of interior light sources based on the driver's light sensitivity.The information disclosed in this Background of the Disclosure section is only for enhancement of understanding of the general background of the disclosure and should not be taken as an acknowledgement or suggestion that this information belongs to the prior art already known to a person skilled in the art.SUMMARY OF THE DISCLOSUREThe disclosure relates to a method for adjusting brightness levels of a plurality of light sources mounted in a vehicle. The method includes acquiring a first eye attribute value and a second eye attribute value of the user of the vehicle. The first eye attribute is a color of the user's iris and the second eye attribute is a color of the user's sclera. The method includes determining that the user is light sensitive based on at least the second eye attribute value, and evaluating a first level of brightness for the plurality of light sources based on the first eye attribute value and the second eye attribute value. The method further includes setting a current brightness level of the plurality of light sources to the first brightness level.The disclosure relates to a system for adjusting brightness levels of a plurality of light sources mounted on a vehicle. The system detects a first eye attribute value and a second eye attribute value of the user of the vehicle. The first eye attribute is a color of the user's iris and the second eye attribute is a color of the user's sclera. The system determines that the user is light sensitive based at least on the second eye attribute value and determines a first level of brightness for the plurality of light sources based on the first eye attribute value and the second eye attribute value. Further, the system sets the current brightness level of the plurality of light sources to the first brightness level.The foregoing summary is illustrative only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, other aspects, embodiments and features will become apparent by reference to the drawings and the following detailed description.BRIEF DESCRIPTION OF THE DRAWINGSThe accompanying drawings, which form a part of this disclosure, illustrate exemplary embodiments and together with the description, explain the principles disclosed. In the figures, the leftmost digit(s) of a reference numeral indicates the figure in which the reference numeral first appears. In the figures, the same numbers are used to indicate like features and components. Some embodiments of systems and / or methods according to embodiments of the present subject matter will now be described, by way of example only, and with reference to the accompanying figures, in which: FIG. 1 illustrates an example architecture of a system for adjusting brightness of a plurality of light sources in a vehicle according to an embodiment of the present disclosure; FIG. 2 shows a detailed block diagram of the brightness adjustment system of FIG. 1, in accordance with an embodiment of the present disclosure; FIG. 3 is a flowchart of a method for adjusting brightness of a plurality of light sources according to an embodiment of the present disclosure; and FIG. 4 shows a flowchart of an example method for adjusting brightness levels of the plurality of light sources of the vehicle according to an embodiment of the present disclosure.Those skilled in the art should appreciate that all block diagrams included herein represent conceptual views of systems embodying the principles of the present subject matter. It will also be understood that all flowcharts, flowcharts, state transition diagrams, pseudo code, and the like represent various processes that are substantially embodied in a computer readable medium and that can be executed by a computer or processor, regardless of whether such a computer or processor is explicitly illustrated.DETAILED DESCRIPTIONAs used herein, the word "exemplary" is used in the sense of "serving as an example, instance, or illustration.". Any embodiment or implementation of the present subject matter described herein as "exemplary" is not necessarily to be considered preferred or advantageous over other embodiments. Although the disclosure is susceptible to various modifications and alternative forms, a specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the specific forms disclosed, but on the contrary, the disclosure is intended to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.The terms "comprises," "comprises," "includes," or other variations thereof are intended to cover a non-exclusive inclusion, such that a structure, apparatus, or method comprising a list of components or steps not only comprises those components or steps, but may also include other components or steps not expressly listed or associated with such structure or apparatus or method. In other words, one or more elements in a system or device initiated with "comprises... a" does not exclude, without further limitations, the existence of other or additional elements in the system or method.In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is therefore not to be taken in a limiting sense.The present disclosure provides methods and systems for automatically adjusting brightness levels of various light sources of a vehicle based on a user's sensitivity to the light emitted by the light sources. The system may be configured within a control unit of the vehicle. The system detects when a user is in the vehicle and has seated on the driver's seat. The system captures an image of the user and detects an iris color and a sclera color of the user from the captured image to determine whether the user is light sensitive. When the user is determined to be light sensitive, the system determines appropriate levels of brightness and changes the current brightness settings, such as reduced levels of brightness, of various interior light sources of the vehicle to meet the user's vision requirements. In this way, the system provides for a dynamic adjustment of the brightness levels of the vehicle's light sources according to the user's light sensitivity.FIG. 1 illustrates an example architecture 100 of a system for adjusting brightness levels of multiple light sources in a vehicle 102 in accordance with an embodiment of the present disclosure.As shown in FIG. 1, system architecture 100 may include one or more components configured to adjust brightness levels of a plurality of light sources of a closed space, such as an interior space in a vehicle 102, based on the photosensitivity of a user 104. In one embodiment, system architecture 100 may include, among other things, a brightness adjustment system (BAS) 106 configured in an electronic control unit (ECU) of vehicle 102, a plurality of light sources 108, an image capture unit 110, and a user database 112 communicatively connected to one another.In operation, when a user of the vehicle enters the closed space inside the vehicle 102, for example, and takes place in the driver's seat, the image capturing unit 110 may capture an image of the user 104 and transmit the captured image to the BAS 106 to evaluate photosensitivity of the user 104. The BAS 106 may process the captured image to extract at least one attribute value of the user's eye, such as an iris color and a sclera color of the user 104. The BAS 106 may determine whether the user 104 is light sensitive based on the scleral color. For example, the BAS 106 may determine that the user is light sensitive based on the user's red scleral color. After the determination, the BAS 106 may evaluate the brightness values of the plurality of light sources 108, such as interior light sources, screens, etc., to adapt to the photosensitivity state of the user 104. In an embodiment, the BAS 106 may determine appropriate levels of brightness of the plurality of light sources 108 to match the user's sensitivity to light, and adjust the level of brightness of the plurality of light sources 108 accordingly. In this way, the architecture 100 dynamically adjusts the brightness levels of the plurality of light sources 108 and enables the photosensitivity user 104 to drive the vehicle 102 comfortably.The individual components of the architecture 100 are explained in more detail below.In an embodiment, the plurality of light sources 108 may be configured within the system 100 and communicatively coupled to the BAS 106. For example, the plurality of light sources 108 may be an infotainment display and / or ambient lighting in a vehicle.In one embodiment, the image acquisition unit 110 may be any image sensor configured to acquire one or more images of the user 104 to evaluate the photosensitivity of the user 104. The user 104 may be, for example, the driver of a vehicle or the user of a mobile device or computing device. In an example, the image capturing unit 110 may be a camera installed in a vehicle or a camera in a mobile phone of a driver or a passenger of the vehicle. The image capture unit 110 may be mounted within the vehicle 102 in a predefined proximity to the user 104 of the vehicle 102 and communicatively coupled to the BAS 106.In one embodiment, the image acquisition unit 110 may be configured to identify a trigger for capturing an image of the user 104 to evaluate the photosensitivity of the user 104. The trigger may be, for example, when a user unlocks a vehicle and sets in the driving position of the vehicle. In another example, the trigger may be when an unknown user drives the vehicle while a previous user is known based on a comparison to user information previously stored in the user database 112. In some examples, the trigger may also be dependent on internal or external lighting conditions such as daylight or night time, or other environmental factors such as rain, fog, or snow, etc.In one embodiment, the architecture 100 may also include, but is not limited to, the user database 112 configured to store or retrieve user information of a plurality of users, such as the user 104. The user information may include, but is not limited to, a user name, a facial image, an iris color, a sclera color, user-controlled device information, brightness levels, photosensitivity information, location, and other information about the plurality of users 104. The user database 112 may be a centralized database located in a cloud or configured on another server remote from the vehicle 102. The user database 112 may be communicatively connected to a plurality of vehicles 102 via a communication network 114 to receive and store user information in the database. The communication network 114 may include, without limitation, any wired or wireless network that enables communication between the vehicle 102 and the user database 112. In some embodiments, the user database 112 may be configured in a memory of the vehicle 102.The BAS 106 may be configured in the ECU of the vehicle 102 to detect the photosensitivity of the user 104 driving the vehicle 102 and to adjust the brightness levels of the plurality of light sources 108 inside the vehicle 102. In this way, the BAS 106 automatically adjusts the brightness levels of the plurality of light sources 108 based on the photosensitivity of the various users 104 of the vehicle to enable the user 104 to drive safely and comfortably.In some embodiments, the BAS 106 may also be configured in other devices, such as a mobile device, such as a smartphone, smart watch, tablet, laptop, palmtop, etc., or in a computing device, such as a desktop device, server, or other device having one or more light sources. For example, the BAS 106 may be configured to automatically adjust brightness levels of multiple light sources 108 in a desktop device, e.g., a background display and a display of a single application in a computing device. In another example, in a shared screen mobile device, the BAS 106 may be configured to adjust the brightness levels of different screens.One or more components of the BAS 106 and their operation are discussed further below.FIG. 2 shows a detailed block diagram of the BAS 106, according to an embodiment of the present disclosure.The BAS 106 may include, without limitation, a processor 202, a memory 204, and a plurality of modules 206 and data 208. The processor 202 may be any hardware processing system, such as a microprocessor, microcontroller, application specific integrated circuit (ASIC), field programmable gate array (FPGA), or system on chip (SOC), electronic control unit (ECU), or other type of processing system. The memory 204 may be any type of hardware data storage device, such as read only memory (ROM), random access memory (RAM), temporary or permanent storage system. The plurality of modules 206 may include an image processing module 210, a sensitivity determination module 212, a brightness adjustment module 214, and other modules 216. The data 208 may include a user image 218, eye attribute data 220, user data 222, and other data 224. In some embodiments, the plurality of modules 206 may also be configured within the processor 202.In one embodiment, the image processing module 210 may receive the user image 218, such as a facial image, of the user 104 from the image capturing unit 110. Further, the image processing module 210 may process the user image 218 to recognize eye attribute data 220 including at least a first eye attribute value and a second eye attribute value of the user's eye. In some embodiments, the image processing module 210 may be configured to only recognize the user from the user image 218 for further processing if the user image 218 includes facial images of more than one user, e.g., a user and a passenger seated behind the user.In one embodiment, the first eye attribute value may indicate the color of the iris and the second eye attribute value may indicate the color of the sclera of the user 104. The iris color may be a bright color such as, but not limited to, blue, green, gray, and red. In another example, the color of the iris may be a dark color, such as, but not limited to, black and brown. The colour of the sclera may be one of normal, red and blood red. Scleral colour is red or red due to rubbing of the eyes, lack of sleep, prolonged viewing of a screen, chloro-smoke exposure, corneal ulcers or conjunctivitis or other health problems. The image processing module 210 may process the image 218 with various image processing methods using models of a foldable neural network or a deep neural network configured to recognize the eye attribute data 220 of the user 104.In some embodiments, prior to extracting the eye attribute data 220, the image processing module 210 may determine whether the eye attribute data 220 of the user 104 has been previously stored in the memory 204. Upon successful determination, the image processing module 210 may compare the user image 218 with the user data 222 stored in the memory 204 for verification. The user data 222 may include eye attribute data 220 associated with one or more users of the vehicle 102. For example, the user data 222 may include one or more facial images of one or more users 104 of the vehicle 102 and their corresponding eye attribute data 220. In some other embodiments, the user data 222 may be retrieved from the user database 112 storing information about a plurality of users of a plurality of vehicles 102.Further, the image processing module 210 may retrieve eye attribute data 220 of the user 104 when the user image 218 matches one or more images of the user stored as user data 222 based on the comparison. Further, the image processing module 210 may determine whether the user data 222 of the user 104 is valid or expired, and may determine whether the user data 222 is to be used for the further processing only if the user data 222 is valid. To determine the validity of the user data 222, the image processing module 210 may check metadata of the user data 222, for example a timestamp at which the user data 222 of the user 104 was stored. For example, if the user data 222 includes facial images of the user 104 that were captured and stored within a period such as one week prior to the current date, the user data 222 may be valid. If the user image 218 does not match any of the images of the user data 222, the image processing module 210 may recognize the eye attribute data 220.In an embodiment, the sensitivity determination module 212 may determine whether the user 104 is light sensitive based at least on the second eye attribute value. The sensitivity determination module 212 may determine that the user 104 is light sensitive when the second attribute value is either a red color or a blood red color. When the second eye attribute value is a normal scleral color, the sensitivity determination module 212 determines that the user 104 is insensitive to light regardless of the first attribute value.In addition, the brightness adjustment module 214 may determine a first brightness level, e.g., a reduced brightness level, for the plurality of light sources 108 based on the first eye attribute value and the second eye attribute value when the user 104 is determined to be light sensitive. If the second attribute value is a blood red color, the first brightness level may be a first value, e.g., 30% of the maximum brightness level if the first eye attribute value is a light color. Alternatively, the first level of brightness may be a second value, e.g., 40% of the maximum level of brightness, when the first eye attribute value is a dark color while the second attribute value is blood red. The maximum brightness level is considered a 100% brightness level. If the second eye attribute value is red, the first brightness level may be a third value, e.g., 50% of the maximum brightness level if the first eye attribute value is bright. Alternatively, the first brightness level may be a fourth value, e.g., 60% of the maximum brightness level when the first eye attribute value is a dark color while the second attribute value is a red color.In some embodiments, the brightness adjustment module 214 may also evaluate the first brightness level when the user 104 is not light sensitive. In these embodiments, it is assumed that a previous brightness value of the plurality of light sources 108 is a reduced brightness value at which a light-sensitive user has driven the vehicle 102. When the second attribute value is a normal color, the first brightness value may be a normal brightness value, e.g., 100% brightness level, when the first eye attribute value is a dark color. Alternatively, the first level of brightness may be a fifth value, e.g., 90% of the level of brightness, when the first eye attribute value of the user 104 is a bright color while the second attribute value is a normal color.In some embodiments, the brightness adjustment module 214 may evaluate a plurality of brightness values for the plurality of light sources 108. For example, the brightness adjustment module 214 may evaluate a first brightness level for a first light source, such as an infotainment display, and a second brightness level for a second light source, such as an ambient light source of the vehicle 102, without being limited thereto. In this example, the brightness adjustment module 214 may determine a brightness level of 28% for the infotainment display and a brightness level of 32% for the ambient light source. In some embodiments, the plurality of light sources 108 may be interior light sources of the vehicle 102. In some other embodiments, the plurality of light sources 108 may be external light sources of the vehicle 102, such as, but not limited to, headlights. For example, the brightness adjustment module 214 may determine a brightness level of 30% for headlights at the front of the vehicle 102 and a brightness level of 40% for headlights at the rear of the vehicle 102. In some other embodiments, the plurality of light sources 108 may be both the interior and exterior light sources of the vehicle 102. For example, the brightness adjustment module 214 may determine a brightness level of 30% for the interior light sources and a brightness level of 40% for the exterior light sources. In further embodiments, the plurality of light sources 108 may be a display light and a flash light of a mobile phone.In some embodiments, the brightness adjustment module 214 may also evaluate the plurality of brightness values for the plurality of light sources 108 based on various other factors such as environmental influences, ambient light, type of roads, location of roads, battery power of the vehicle 102, lights from opposite vehicles or other vehicles on a road being traveled by the vehicle 102, and location of the light sources in addition to the eye attribute data 220. For example, the brightness adjustment module 214 may determine a brightness level of 30% for interior light sources for the photosensitive user 104. However, in this example, the brightness adjustment module 214 may evaluate 100% brightness level for external light sources, as the user 104 may not be impaired by external light sources compared to internal light sources. In another example, the brightness adjustment module 214 may evaluate 30% brightness level for headlights at the front of the vehicle 102 and 100% brightness level for headlights at the rear of the vehicle 102, as the light sensitive user 104 may not be impaired by the headlights at the rear of the vehicle 102 as compared to the front of the vehicle 102. In another example, the brightness adjustment module 214 may determine a brightness level of 30% for the photosensitive user 104 during night driving and a brightness level of 50% during daytime driving.Thereafter, the brightness adjustment module 214 may set a current brightness level of the plurality of light sources 108 as a first brightness level. The brightness adjustment module 214 may detect a current brightness level of the plurality of light sources 108 and compare the current brightness level to the determined first brightness level. Further, the brightness adjustment module 214 may update the current brightness level to the first brightness level if the current brightness level is different than the first brightness level. For example, if the current brightness level is 100% and the first brightness level is 30%, the brightness adjustment module 214 may update the current brightness level from 100% to the first brightness level as 30%. Alternatively, the brightness adjustment module 214 may maintain the current brightness level as a 30% brightness level when the current brightness level is a 30% brightness level and the first brightness level is a 30% brightness level. The brightness adjustment module 214 may further store the weighted brightness levels of the plurality of light sources 108 of the vehicle 102 in the user data 222 along with the user image 218 for future use.In this way, the BAS 106 automatically updates the brightness levels of various light sources of a vehicle based on the user's light sensitivity, thereby improving the efficiency of controlling brightness levels of light sources.FIG. 3 shows a flowchart of a method for adjusting the brightness levels of the plurality of light sources 108 of the vehicle 102 according to another embodiment of the present disclosure.The method 300 may be described in the general context of computer-executable instructions. In general, computer-executable instructions may include routines, programs, objects, components, data structures, procedures, modules, and functions that perform particular functions or implement particular abstract data types. The order in which method 300 is described is not intended to be limiting, and any number of the described method blocks may be combined in any order to implement the method. Moreover, individual blocks may be deleted from the methods without compromising the scope of the subject matter described herein. Moreover, the method may be implemented in any suitable hardware, software, firmware, or combination thereof.In block 302, the BAS 106 detects the eye attribute data 220 of the user 104 to determine whether the user 104 is light sensitive. The BAS 106 receives a captured image 218 of the user 104 from the image capturing unit 110 and can recognize the eye attribute data 220 of the user 104. The eye attribute data 220 may include a first eye attribute value representing an iris color of the user 104 and a second eye attribute value representing a sclera color of the user 104.In block 304, the BAS 106 may determine whether the user 104 is light sensitive based on the second eye attribute value. The BAS 106 may determine that the user 104 is photosensitive if the second attribute value is either red or blood red. When the second eye attribute value is normal sclera, the sensitivity determination module 212 determines that the user 104 is insensitive to light regardless of the first attribute value.At block 306, the BAS 106 may evaluate a first level of brightness, such as a reduced level of brightness, for the plurality of light sources 108 based on the first eye attribute value and the second eye attribute value when the user 104 is determined to be light sensitive. If the second attribute value is a blood red color, the first brightness level may be a first value, e.g., 30% of the maximum brightness level if the first eye attribute value is a light color. The color of the iris may be a bright color such as, but not limited to, blue, green, gray, and red. Alternatively, the first level of brightness may be a second value, e.g., 40% of the maximum level of brightness, when the first eye attribute value is a dark color while the second attribute value is blood red. The maximum brightness level is considered a 100% brightness level. If the second eye attribute value is red, the first brightness level may be a third value, e.g., 50% of the maximum brightness level if the first eye attribute value is bright. Alternatively, the first brightness level may be a fourth value, e.g., 60% of the maximum brightness level, when the first eye attribute value is a dark color while the second attribute value is a red color. In block 408, the BAS 106 may set a current brightness level of the plurality of light sources 108 as a first brightness level. The BAS 106 may detect a current brightness level of the plurality of light sources 108 and compare the current brightness level to the determined first brightness level. In addition, the BAS 106 may update the current brightness level to the first brightness level when the current brightness level is different from the first brightness level. For example, if the current brightness level is 100% and the first brightness level is 30%, BAS 106 may update the current brightness level from 100% to the first brightness level as a 30% brightness level. When the current brightness level is 30% and the first brightness level is 30%, the BAS 106 may maintain the current brightness level as a 30% brightness level.FIG. 4 shows a flow chart of an example method for adjusting brightness levels of a plurality of light sources according to an embodiment of the present disclosure.The method 400 may be described in the general context of computer-executable instructions. In general, computer-executable instructions may include routines, programs, objects, components, data structures, procedures, modules, and functions that perform particular functions or implement particular abstract data types. The order in which method 400 is described is not intended to be limiting, and any number of the described method blocks may be combined in any order to implement the method. Moreover, individual blocks may be deleted from the methods without compromising the scope of the subject matter described herein. Moreover, the method may be implemented in any suitable hardware, software, firmware, or combination thereof.At block 402, the BAS 106 may capture an image of a user 104 to determine whether the user 104 is light sensitive.In block 404, the BAS 106 may recognize an iris color and a sclera color of the user 104 by processing the captured image.At block 406, the BAS 106 may determine whether the user 104 is light sensitive based on the scleral color of the user 104. The BAS 106 may determine that the user 104 is photosensitive when the scleral color is either blood red or red, and may proceed to block 410 when the user 104 is photosensitive. If the color of the sclera is normal, the BAS 106 may determine that the user 104 is not photosensitive and may proceed to block 408.At block 408, the BAS 106 may maintain a current brightness value, the current brightness value being considered a maximum brightness, B max, when the user is determined to be immune to light.At block 410, the BAS 106 has determined that the user is photosensitive and can detect whether the sclera is of a blood red color. If so, the BAS 106 may further determine whether the user 104 has a bright iris in block 412. If the user 104 has a bright iris, the BAS 106 may set a current brightness level of the plurality of light sources 108 to 30% of B max in block 414. If the user 104 does not have a bright iris, the BAS 106 may set a current brightness level of the plurality of light sources 108 to 40% of B max in block 416.Alternatively, if the scleral color is not blood red in block 410, the BAS 106 may determine that the scleral color is red and may determine whether the user has a bright iris in block 418. If the user 104 has a bright iris, the BAS 106 may set a current brightness level of the plurality of light sources 108 to 50% of B max in block 420. If the user 104 does not have a bright iris, the BAS 106 may set a current brightness level of the plurality of light sources 108 to 60% of B max in block 422.Thus, the methods and systems of the present disclosure provide the technical advantage of efficiently and dynamically changing the brightness levels of the various light sources 108 based on the user's photosensitivity, thereby enabling the user 104 to improve driving efficiency and avoid vehicle collisions. The methods and systems of the present disclosure also avoid the user 104 having to manually change the brightness levels of each of the plurality of light sources 108 each time the user 104 uses the vehicle 102, which generally consumes much time for the user 104. Moreover, the methods and systems of the present disclosure dynamically assign different levels of brightness to the various light sources 108 based on the user's photosensitivity and other factors, thereby allowing efficient operation of the vehicle's light sources 108 without explicit user input, and reducing the time required to manually accept user 104 inputs. Additionally, because the methods and systems provide the plurality of light sources 108 to photosensitive users 104 with reduced levels of brightness, this may reduce battery consumption of the vehicle 102 as compared to continuously using maximum levels of brightness.The steps illustrated are for purposes of explaining the exemplary embodiments shown, and it should be understood that ongoing technological development will alter the manner in which particular functions are performed. These examples are illustrative and not restrictive. Moreover, the boundaries of the functional blocks have been arbitrarily set here for convenience of description. Alternatives (including equivalents, extensions, variations, deviations, etc. from those described herein) will be apparent to persons skilled in the relevant field(s) based on the teachings herein. Such alternatives fall within the scope of the disclosed embodiments.Also, the words "consisting of", "with", "containing", and "including", and other similar forms, are intended to be equivalent in meaning and have an open end such that an element or elements following any of these words are not intended to be an exhaustive list of such element or elements or to be limited to the listed element(s). It is also to be noted that, as used herein and in the appended claims, the singular forms "a", "an" and "the" include plural references unless the context clearly dictates otherwise.Finally, the language used in the specification has been chosen primarily for readability and for training purposes, and not to delineate or describe the subject matter of the invention. Accordingly, the disclosure of the embodiments of the disclosure is intended to illustrate, but not limit, the scope of the disclosure. With regard to the use of terms in the plural and / or singular, the person skilled in the art can translate from the plural into the singular and / or from the singular into the plural depending on the context and / or application. The various singular / plural permutations may be expressly listed herein for clarity.Reference Number:100 Architecture 102 Vehicle 104 User 106 Brightness Adjustment System (BAS) 108 Light sources 110 Image capture unit 112 User database 114 Communication network 202 Processor 204 Memory 206 Module 208 Data 210 Image processing module 212 Sensitivity determination module 214 Brightness adjustment module 216 Other modules 218 User image 220 Data on eye attributes 222 User data 224 Other dataReferences included in the specificationThis list of documents cited by the applicant has been produced in an automated manner and is only included for the better information of the reader. The list is not part of the German patent application or utility model application. The DPMA does not take any adhesion for any faults or omissions.Patent Literature citedUS 7639149B2

[0004] US 11491912B2

[0004] US 2018009367A1

[0004]

Claims

A method for adjusting brightness levels of a plurality of light sources mounted in a vehicle, the method comprising: acquiring, by a processor of a system, a first eye attribute value and a second eye attribute value of the user of the vehicle, wherein the first eye attribute is a color of the iris of a user and the second eye attribute is a color of the sclera of a user; determining, by the processor, that the user is light sensitive based at least on the second eye attribute value; calculating, by the processor, a first brightness level for the plurality of light sources based on the first eye attribute value and the second eye attribute value; and adjusting, by the processor, a current brightness level of the plurality of light sources to the first brightness level.The method of claim 1, wherein the plurality of light sources comprises a plurality of light sources within the vehicle.The method of claim 1, wherein determining that the user is photosensitive comprises: determining that the second eye attribute value is either blood red or red.The method of claim 1, wherein the first level of brightness is evaluated as one of: a first value based on the determination that the first eye attribute value is a bright color and the second eye attribute value is a blood red color; a second value based on the determination that the first eye attribute value is a dark color and the second eye attribute value is a blood red color; a third value based on the determination that the first eye attribute value is a bright color and the second eye attribute value is a red color; and a fourth value based on the determination that the first eye attribute value is a dark color and the second eye attribute value is a red color.The method of claim 1, wherein detecting the first eye attribute value and the second eye attribute value comprises: receiving an image of the user captured by an image sensor connected to the processor; and processing the captured image of the user to recognize the first eye attribute value and the second eye attribute value.The method of claim 1, further comprising: evaluating the first brightness level for a first light source of the plurality of light sources and a second brightness level for a second light source of the plurality of light sources based on the determination, wherein the first light source is a display device of the vehicle and an ambient light source of the vehicle; and setting the first brightness level to the first light source and the second brightness level to the second light source.A system for adjusting brightness levels of a plurality of light sources mounted on a vehicle, the system comprising: a memory; and a processor communicatively connected to the memory, the processor configured to: identify a first eye attribute value and a second eye attribute value of the vehicle user, wherein the first eye attribute is a color of the iris of the user and the second eye attribute is a color of the sclera of the user; determine that the user is light sensitive based at least on the second eye attribute value; evaluate a first brightness level for the plurality of light sources based on the first eye attribute value and the second eye attribute value; and adjust a current brightness level of the plurality of light sources to the first brightness level.The brightness adjustment system of claim 7, wherein the processor for determining that the user is light sensitive is configured to: determine that the second eye attribute has one of blood red and red.The brightness adjustment system of claim 7, wherein the processor is configured to determine the first level of brightness as one of: a first value based on determining that the first eye attribute value is a bright color and the second eye attribute value is a blood red color; a second value based on determining that the first eye attribute value is a dark color and the second eye attribute value is a blood red color; a third value based on determining that the first eye attribute value is a bright color and the second eye attribute value is a red color; and a fourth value based on determining that the first eye attribute value is a dark color and the second eye attribute value is a red color.Vehicle having a system according to one of Claims 7 - 9, which carries out a method according to one of Claims 1 - 6.

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